In case you haven't heard, 40% of the workforce is anticipated to acquire new skills during the next three years. It makes sense to do this in order to stay up with the rapid advancement of technology, particularly generative AI.
However, according to the IBM survey, executives believe that automation and artificial intelligence will require reskilling of 40% of their staff. It also says that in the next three years, a variety of soft skills, business savvy, and analytical abilities will be highly valued.
I'll go over the most in-demand talents for 2023 in this post, along with how having them can help your career in the long run.
Now let's get started.Let us begin by discussing the fundamentals for individuals who wish to pursue a profession in data science.
Select a programming language to study and become proficient in. Discover all there is to know about it—its nooks and crannies, its ins and outs. Being an expert in one area rather than a jack of all trades is preferable.
Many businesses are interested in learning that hiring a person will benefit them in multiple ways. This individual, for instance, is highly skilled at organizing data, but they also excel at producing data visualizations for our board meetings.
Check out 8 Programming Languages For Data Science to Learn in 2023 if you're not sure which programming language to pick.
Cleaning and organizing data------
